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Vercel Open Source Program: Winter 2026 cohort How Notion Workers run untrusted code at scale with Vercel Sandbox How we run Vercel's CDN in front of Discourse From idea to secure checkout in minutes with Stripe Building Slack agents can be easy Scaling redirects to infinity on Vercel Advancing Python typing Gamma builds design-first agents with Vercel How Avalara turns pipe dreams into patent-pending with v0 Keeping community human while scaling with agents How OpenEvidence built a healthcare AI that physicians actually trust Security boundaries in agentic architectures Skills Night: 69,000+ ways agents are getting smarter Video Generation with AI Gateway We Ralph Wiggumed WebStreams to make them 10x faster How Stably ships AI testing agents in hours, not weeks How we built AEO tracking for coding agents Anyone can build agents, but it takes a platform to run them Introducing Geist Pixel The Vercel AI Accelerator is back with $6m in credits Making agent-friendly pages with content negotiation The Vercel OSS Bug Bounty program is now available Introducing the new v0 Run untrusted code with Vercel Sandbox, now generally available How Stripe built a game-changing app in a single flight with v0 How Sensay went from zero to product in six weeks AGENTS.md outperforms skills in our agent evals Agent skills explained: An FAQ Testing if "bash is all you need" AWS databases are now live on the Vercel Marketplace and v0 Use Perplexity Web Search with Vercel AI Gateway Introducing: React Best Practices Nick Bogaty joins Vercel as Chief Revenue Officer How Mux shipped durable video workflows with their @mux/ai SDK How to build agents with filesystems and bash How we made v0 an effective coding agent Stopping the slow death of internal tools Building AI-Generated Pixel Trading Cards with Vercel AI Gateway We removed 80% of our agent’s tools AI SDK 6 Our $1 million hacker challenge for React2Shell Cline now runs on Vercel AI Gateway How to prompt v0 Build smarter workflows with Notion and v0 Vercel launches partner certification Inside Workflow DevKit: How framework integrations work React2Shell Security Bulletin | Vercel Knowledge Base Billions of requests: Black Friday-Cyber Monday 2025 Investing in the Python ecosystem AWS Databases coming to the Vercel Marketplace How we built the v0 iOS app Workflow Builder: Build your own workflow automation platform Security through design: Creating the improved Firewall experience Vercel Open Source Program: Fall 2025 cohort Self-driving infrastructure Vercel collaborates with Google for Gemini 3 Pro Preview launch Vercel: The anti-vendor-lock-in cloud How Nous Research used BotID to block automated abuse at scale How AI Gateway runs on Fluid compute What we learned building agents at Vercel Build and deploy data applications on Snowflake with v0 BotID Deep Analysis catches a sophisticated bot network in real-time Vercel Agent can now run AI investigations Vercel achieves TISAX AL2 compliance to serve automotive partners Bun runtime on Vercel Functions David Totten Joins Vercel to Lead Global Field Engineering Vercel Ship AI 2025 recap You can just ship agents AI agents and services on the Vercel Marketplace Built-in durability: Introducing Workflow Development Kit Zero-config backends on Vercel AI Cloud Introducing Vercel Agent: Your new Vercel teammate Update regarding Vercel service disruption on October 20, 2025 Agents at work, a partnership with Salesforce and Slack Running Next.js in ChatGPT: How to Build ChatGPT Apps Talha Tariq joins Vercel as CTO of Security Just another (Black) Friday Server rendering benchmarks: Fluid Compute and Cloudflare Workers Towards the AI Cloud: Our Series F Collaborating with Anthropic on Claude Sonnet 4.5 to power intelligent coding agents Preventing the stampede: Request collapsing in the Vercel CDN BotID uncovers hidden SEO poisoning How we made global routing faster with Bloom filters What you need to know about vibe coding Scale to one: How Fluid solves cold starts Addressing security & quality issues with MCP tools - Vercel AI agents at scale: Rox’s Vercel-powered revenue operating system Helly Hansen migrated to Vercel and drove 80% Black Friday growth Introducing Vercel Drains: Complete observability data, anywhere Introducing x402-mcp: Open protocol payments for MCP tools MongoDB Atlas is now available on the Vercel Marketplace The second wave of MCP: Building for LLMs, not developers A more flexible Pro plan for modern teams Critical npm supply chain attack response - September 8, 2025 Stress testing Biome's noFloatingPromises lint rule Open SDK strategy Preparing for the worst: Our core database failover test AI-powered prototyping with design systems - Vercel – Vercel AI Gateway: Production-ready reliability for your AI apps - Vercel – Vercel Rethinking prototyping, requirements, and project delivery at Code and Theory - Vercel – Vercel
How KIKO Milano scales for Black Friday
Meghan SchaeferSenior Field Marketing Manager · 2026-05-05 · via Vercel News

Link to headingKIKO Milano on Vercel:

  • Eliminated 3 weeks of Black Friday infrastructure prep

  • 75% decrease in app build times

  • Went from minimal releases to deploying multiple times per day

KIKO Milano’s ecommerce team used to treat peak traffic as an operations project. Weeks before Black Friday, they had to manually scale AWS infrastructure and adjust application configuration, knowing that if demand exceeded forecasts, their site could slow down or even break, costing them real revenue.

After migrating to Vercel, they removed manual prep from their playbook. Instead of provisioning infrastructure, their team now ships campaigns and tests daily.

Link to headingThe Black Friday problem: manual scaling and stressful failure modes

Before Vercel, KIKO ran their ecommerce app on AWS EC2 instances sized for normal traffic, then scaled by hand ahead of peak periods.

This was their previous process leading into Black Friday:

  • Manual scaling window:

    Black Friday prep began 2–3 weeks ahead of the event, then had to be unwound after the traffic spike passed.

  • Infrastructure configuration:

    The infra team manually adjusted AWS EC2 capacity to support expected traffic.

  • Application configuration:

    Scaling also required application-side changes, making peak readiness more than just an infrastructure task.

  • War room prep:

    Chat channels and conference rooms were set up for teams to triage performance and downtime problems.

Beyond the manual prep work, KIKO’s dev team had to anticipate failure modes that hurt the business. Slow navigation and site instability made it hard for users to purchase, and, in Ant’s words, they knew that at any point, “everything could break.”

Link to headingWorry-free delivery and automatic scaling

Vercel changed the work from preparation to execution. With environments available on demand, faster builds, and automatic scaling during traffic spikes, Ant’s team stopped planning around infrastructure limits and focused on the ecommerce experience itself.

Before we had to limit the number of releases as much as possible, but on Vercel we have the ability deploy multiple times a day if we want.

Antonino Samperi, Digital Solutions Specialist

Link to headingEnvironments without the bottleneck

KIKO's old setup ran on a fixed number of shared environments, which constrained how the team handled dev, test, pre-prod, and prod work in parallel. On Vercel, Ant described provisioning new environments as "snapping your fingers," including spinning them up on the fly when a project calls for it. Cloning environment variables is quick, and many changes that used to require code edits now "just require redeployment."

Link to headingShipping faster without the operational tax

The dev team’s old pipeline took around 20 minutes to run, which meant they had to keep releases to a minimum. Builds on Vercel finish in under four minutes on average, even with many locales and a large catalog of pre-rendered pages. The deployments view in the Vercel dashboard gives the team one place to check build status and surface failures without digging through logs.

Link to headingNo more performance variability during traffic spikes

Performance used to swing with traffic, which meant the team felt every spike. Ant said that on Vercel, "everything scales automatically."

On Vercel, infrastructure is something we were finally able to forget entirely, and that’s priceless.

Antonino Samperi, Digital Solutions Specialist

That’s possible because their Next.js app runs on infrastructure that separates static delivery, cached pages, and dynamic compute, so each part can scale independently during traffic spikes, instead of forcing the team to size and tune servers ahead of time.

Link to headingBeyond Black Friday: velocity, SEO, and innovation

The infrastructure migration didn’t just change how KIKO prepares for traffic spikes, it changed how much operational work the team carries every week.

Ant estimates that Vercel saves his team almost an entire day per week when all of the friction is added up, and that time savings has made the team more confident: the platform works, they can ship quickly, and when they need support, they know Vercel is there with them.

It’s not only technical that the platform works, but also the people that are behind it. We never felt abandoned.

Antonino Samperi, Digital Solutions Specialist

About KIKO Milano: KIKO Milano is a global beauty brand delivering cosmetics and ecommerce experiences to customers worldwide.